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Statistical inference for models wit...
~
Arashi, M. (1981-)
Statistical inference for models with multivariate t-distributed errors[electronic resource] /
Record Type:
Language materials, printed : Monograph/item
[NT 15000414]:
519.5/36
Title/Author:
Statistical inference for models with multivariate t-distributed errors/ A. K. Md. Ehsanes Saleh, M. Arashi, S. M. M. Tabatabaey.
Author:
Saleh, A. K. Md. Ehsanes.
other author:
Arashi, M.
Published:
Hoboken, New Jersey : : Wiley,, 2014.
Description:
1 online resource (xxiv, 248 p.)
Subject:
Regression analysis.
Subject:
Multivariate analysis.
ISBN:
9781118853931 (electronic bk.)
ISBN:
1118853938 (electronic bk.)
ISBN:
9781118853924 (electronic bk. : pdf)
ISBN:
111885392X (electronic bk. : pdf)
ISBN:
9781118853962 (electronic bk. : epub)
ISBN:
1118853962 (electronic bk. : epub)
ISBN:
9781322196138 (MyiLibrary)
ISBN:
1322196133 (MyiLibrary)
[NT 15000227]:
Includes bibliographical references and index.
[NT 15000229]:
"This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observations Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic Addresses linear regression models with non-normal errors with practical real-world examples Uniquely addresses regression models in Student's t-distributed errors and t-models Supplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher "--
Online resource:
http://onlinelibrary.wiley.com/book/10.1002/9781118853931
Statistical inference for models with multivariate t-distributed errors[electronic resource] /
Saleh, A. K. Md. Ehsanes.
Statistical inference for models with multivariate t-distributed errors
[electronic resource] /A. K. Md. Ehsanes Saleh, M. Arashi, S. M. M. Tabatabaey. - Hoboken, New Jersey :Wiley,2014. - 1 online resource (xxiv, 248 p.)
Includes bibliographical references and index.
"This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observations Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic Addresses linear regression models with non-normal errors with practical real-world examples Uniquely addresses regression models in Student's t-distributed errors and t-models Supplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher "--
ISBN: 9781118853931 (electronic bk.)
LCCN: 2014011507Subjects--Topical Terms:
186625
Regression analysis.
LC Class. No.: QA278.2 / .S254 2014
Dewey Class. No.: 519.5/36
Statistical inference for models with multivariate t-distributed errors[electronic resource] /
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Statistical inference for models with multivariate t-distributed errors
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[electronic resource] /
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A. K. Md. Ehsanes Saleh, M. Arashi, S. M. M. Tabatabaey.
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Hoboken, New Jersey :
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Wiley,
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2014.
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1 online resource (xxiv, 248 p.)
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Includes bibliographical references and index.
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"This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observations Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic Addresses linear regression models with non-normal errors with practical real-world examples Uniquely addresses regression models in Student's t-distributed errors and t-models Supplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher "--
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Description based on online resource; title from digital title page (viewed on October 20, 2014).
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Regression analysis.
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http://onlinelibrary.wiley.com/book/10.1002/9781118853931
based on 0 review(s)
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http://onlinelibrary.wiley.com/book/10.1002/9781118853931
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